Literature DB >> 16901464

Heterotypic cell interactions on a dually patterned surface.

Yukiko Tsuda1, Akihiko Kikuchi, Masayuki Yamato, Guoping Chen, Teruo Okano.   

Abstract

It is worth investigating heterotypic cell-cell interactions by mimicking their in vivo structures and environment. In the present study, physiological cellular response and behavior of hepatocytes and endothelial cells were investigated by controlling their contact periphery in a new co-culture system. Rat primary hepatocytes and bovine endothelial cells were co-cultured on a dually patterned surface. Hepatic physiological functions such as albumin secretion and ammonium metabolism were enhanced by increasing heterotypic cell-cell interactions in a patterned co-culture. Furthermore, enhanced hepatic functions through heterotypic interactions are effective within a limited area apart from endothelial cells as evidenced by immunofluorescence staining of hepatic intracellular albumin, indicating that heterotypic interactions act in a paracrine manner. Thus, heterotypic cell communications that play indispensable roles in increasing hepatic physiological functions should be obtained with an increasing periphery of two-cell domains. These findings are important for the reconstruction of complex tissues such as liver and pancreas.

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Mesh:

Year:  2006        PMID: 16901464     DOI: 10.1016/j.bbrc.2006.07.138

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  18 in total

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Review 7.  Engineering systems for the generation of patterned co-cultures for controlling cell-cell interactions.

Authors:  Hirokazu Kaji; Gulden Camci-Unal; Robert Langer; Ali Khademhosseini
Journal:  Biochim Biophys Acta       Date:  2010-07-23

8.  Rapid Prototyping of Heterotypic Cell-Cell Contacts.

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Journal:  J Mater Chem B       Date:  2013-08-30       Impact factor: 6.331

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10.  Thermoresponsive Platforms for Tissue Engineering and Regenerative Medicine.

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Journal:  AIChE J       Date:  2011-10-31       Impact factor: 3.993

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